The 'Statement on Statistical Significance and P-Values' includes six principles underlying the proper use and interpretation of the p-value and is intended to improve the conduct and interpretation ...

A review of p-values in the biomedical literature from 1990 to 2015 shows that these widely misunderstood statistics are being used increasingly, instead of better metrics of effect size or ...

For decades, scientific studies have hinged on showing a p-value of less than 0.05 as evidence that a study readout is genuine—but calls are growing for a new approach. Almost all published studies ...

The increasing concern about the role of p values in science has gone from a murmur to a loudly expressed concern. Is this just an insider's argument or is it a matter we should take seriously?

Ninety years ago, Ronald Fisher changed science forever. With his book, Statistical Methods for Researchers, the eminent English statistician popularized P values for measuring statistical ...

Senior Lecturer in Comparative and Environmental Physiology, University of Roehampton How should scientists interpret their data? Emerging from their labs after days, weeks, months, even years spent ...

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The more I listen, the more I hear about the disenchanted, tired and uninspired physician. It's still the exception and medicine is still rich with great and inspired healthcare professionals, yet ...

Statistical significance is a critical concept in data analysis and research. In essence, it’s a measure that allows researchers to assess whether the results of an experiment or study are due to ...